AI and ML for Industry and Society

Important results from the project

The purpose of the project was to understand the competence needs of professionals in companies and organizations, create and provide training solutions suitable for meeting the required competence in relation to the AI area. The key results, ie the outcome of the needs inventory and the flexible and modular training solutions created within the project, are that both the specialist competence and the general competence in AI and ML, have increased in the companies and organizations in the public sector, which directly or indirectly participated in the project.

Expected long term effects

The project generated several other important results in addition to the expected ones. Key results are: - Increased specialist competence in AI and ML in directly participating organizations both directly and indirectly participating companies and the public sector. - Increased awareness among university teachers and researchers about the importance of supporting the lifelong learning of professionals. - The user-centered approach. - The collaborations established and the ethnographic methodology to deeply understand the needs early in the learning process.

Approach and implementation

The approach, with focus on collaborative practices and learning between organizations, alongside the participatory (almost ethnographic) approach, that takes into account the learning situation and context, laid a robust foundation for flexible modular learning in the AI field onward. This foundation can expand and be combined with course elements from research on methods and applications of AI. Additionally, learnings are made on how the university´s commissioned education may support, both the general and specific knowledge needs in different sectors and industries.